Deanna M. Koepp

5.8k citations
33 papers · 4.8k indexed · 3 hit papers · h-index 18
Topics
Ubiquitin and proteasome pathways (13 papers)Cancer-related Molecular Pathways (11 papers)Nuclear Structure and Function (8 papers)

In The Last Decade

Deanna M. Koepp

32 papers receiving 4.8k citations

Hit Papers

Structure of the Cul1–Rbx1–Skp1–F boxSkp2 SCF ubiquitin l...19992026200820172002199920014008001.2k

Peers

Deanna M. Koepp
Comparison fields: 5 of 109
  • Molecular Biology 4.2k
  • Oncology 1.2k
  • Cell Biology 893
  • Cancer Research 548
  • Epidemiology 469
Replace Annette M.G. Dirac with:
Annette M.G. Dirac Netherlands
Jamal Tazi France
Robert J. Duronio United States
Matthew D. Petroski United States
Michael N. Boddy United States
Didier Trouche France
Travis H. Stracker Spain
Giuseppe Biamonti Italy
Masami Horikoshi Japan
Michael Dahmus United States
Deanna M. Koepp relative to Annette M.G. Dirac Netherlands Annette M.G. Dirac's profile →
Citations per field
00.5×1.5×1.9×
Annette M.G. Dirac · 1×
Citations per year

Countries citing papers authored by Deanna M. Koepp

Since Specialization
Citations

This map shows the geographic impact of Deanna M. Koepp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deanna M. Koepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna M. Koepp more than expected).

Fields of papers citing papers by Deanna M. Koepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deanna M. Koepp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deanna M. Koepp. The network helps show where Deanna M. Koepp may publish in the future.

Co-authorship network of co-authors of Deanna M. Koepp

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna M. Koepp. A scholar is included among the top collaborators of Deanna M. Koepp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deanna M. Koepp. Deanna M. Koepp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 13
3 14
4 3
5 13
6 18
7 4
8 6
9 50
10 51
11 30
12 40
13
Structure of the Cul1–Rbx1–Skp1–F boxSkp2 SCF ubiquitin ligase complexbreakdown →
1216
14
Phosphorylation-Dependent Ubiquitination of Cyclin E by the SCF Fbw7 Ubiquitin Ligasebreakdown →
649
15 299
16 372
17 8
18 288
19 195
20 9

About Deanna M. Koepp

Deanna M. Koepp is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 33 papers that have together received 4.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Cancer-related Molecular Pathways (11 papers) and Nuclear Structure and Function (8 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Virology (275 citations) and Cell Biology (893 citations). Deanna M. Koepp has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include J. Wade Harper, Stephen J. Elledge, Pamela A. Silver, Ronald Conaway, Joan Conaway, Claire Chu, Takumi Kamura, Michael N. Conrad, Dorota Skowyra and Laura Schaefer. Their work appears in journals such as Nature, Science and Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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